Comments (7)
First thing in join
is to check if it's being called from outside the thread pool, and then it has to inject both closures, right? So I think a half-send version would have to be a separate call.
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@cuviper ah, true. Good point.
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Meh. Not worth it, I don't think.
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OK, I decided to reopen, but changed the title. It seems like there might be some use for this. The idea would be that sometimes you want to do work on the "main" thread while also doing parallel processing in parallel. Use case is the SDL-based visualizer in the nbody demo, where it'd be nice to assemble the frame in parallel with computing the next one. You can certainly do this with Rayon's existing join, but I think one is only supposed to do certain tasks from the "main" thread. Another use case would be anything that requires thread-local data.
But I agree with @cuviper that this seems to be a distinct thing from the simple join, so maybe it would require a separate function. Or maybe we can rework join so that it's fine there. I don't know, but I'm going to leave it open as something to think about as a future enhancement.
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@cuviper yes, but it would need a join scope of some kind in order to access borrowed data. So basically you could imagine adding an API like:
join_scope(|scope| {
scope.fork(|| ...); // can call as many times as you want
});
// forked things are done now
Behind the scenes, this would need some sort of Vec
to keep track of all the things you forked.
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I think I'm just going to close this. It might be handy, but ... meh. We have scope now and I think concerning ourselves with Send
things is probably ok for the most part.
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Related Issues (20)
- Potential `len` method ambiguity in `src/range.rs` HOT 5
- Potential to fix memory ordering for value HOT 2
- a broadcast that only gets executed on idle threads
- `in_place_scope` documentation is confusing/unclear HOT 14
- use_current_thread and the global thread pool HOT 2
- Why does ThreadPool block until a operation is finished? HOT 1
- A way to hook before/after job execution (and/or a way to see a number of tasks in the processing queue)
- Function dependencies with Rayon without blocking the thread / Rayon synchronization primitives?
- Add synchronization guarantees for `ParallelIterator::for_each*` HOT 1
- Par bridge with optional buffering IO handling HOT 2
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- Question about return types from .map() HOT 4
- Terribly inefficient design and possible solution HOT 5
- [Discussion] Is it possible to impl `IntoIterator` for `ParallelIterator`? HOT 3
- Yield locks HOT 1
- the method `par_iter` exists for struct `ChunkByMut<'_, BinF32, {[email protected]:207:78}>`, but its trait bounds were not satisfied HOT 5
- Unupdated crossbeam dependency makes MIRI angry HOT 1
- help: How to implement memoized chunks for parallel iterator? HOT 2
- wrong repo, issue deleted HOT 3
- Comparison with Spice HOT 1
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